Database Paper Browser

Back to papers

Window Query-Optimal Clustering of Spatial Objects

Summary: Defines static window-query optimal clustering: partition known spatial data into capacity-cb buckets to minimize expected bucket accesses, yielding a lower bound for spatial indexes. Poly-time for cb=2, NP-hard for cb≥3; simulated annealing shows dynamic structures and packed R-tree ≈20% worse than optimum. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
1050
Venue
PODS
Year
1995
Pagerank
5.223696e-05
Overall Rank
6,076 | 57.74%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank Citing Paper Year Venue Pagerank
1,528 A Model for the Prediction of R-tree Performance 1996 PODS 0.00011497734
3,255 A Revised R*-tree in Comparison with Related Index Structures 2009 SIGMOD 7.3160522e-05
8,474 Adaptive Index Structures 2002 VLDB 4.5029015e-05
8,894 Are Window Queries Representative For Arbitrary Range Queries? 1996 PODS 4.4274507e-05
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 9 of 9 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Previous Page 1 / 1 Next

Semantically Similar Papers